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Inferring average generation via division-linked labeling

机译:通过分区链接标记推断平均代数

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摘要

For proliferating cells subject to both division and death, how can one estimate the average generation number of the living population without continuous observation or a division-diluting dye? In this paper we provide a method for cell systems such that at each division there is an unlikely, heritable one-way label change that has no impact other than to serve as a distinguishing marker. If the probability of label change per cell generation can be determined and the proportion of labeled cells at a given time point can be measured, we establish that the average generation number of living cells can be estimated. Crucially, the estimator does not depend on knowledge of the statistics of cell cycle, death rates or total cell numbers. We explore the estimator's features through comparison with physiologically parameterized stochastic simulations and extrapolations from published data, using it to suggest new experimental designs.
机译:对于既分裂又死亡的增殖细胞,如何在不连续观察或不使用分裂稀释染料的情况下估计活种群的平均世代数?在本文中,我们提供了一种用于细胞系统的方法,使得在每个分区中都存在不太可能的,可遗传的单向标签变化,除了用作区分标记之外,没有其他影响。如果可以确定每代细胞发生标记变化的可能性,并且可以测量给定时间点标记细胞的比例,那么我们可以确定活细胞的平均生成数。重要的是,估算器不依赖于细胞周期,死亡率或总细胞数的统计知识。通过与生理参数化的随机模拟和已发布数据的推断进行比较,我们探索了估计器的功能,并以此来建议新的实验设计。

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